One-stop-shop for docs and test coverage of
Optimized for dbt 1.0, see full support matrix.
Why do I need something like this?
It is a single CLI tool which checks your
dbt project for missing documentation and tests.
Keeping documentation and tests close to the actual SQL code that generates the final model is one of the best design choices of
dbt. It ensures documentation is actually useful and tests are actually used. But how do you make adding those a habit in your
That is exactly where
dbt-coverage comes in. It will
- Give you a better sense of the level of documentation and test coverage in your project;
- Help your CI/CD pipeline make sure new changes include documentation and tests;
- Let you quickly assess the documentation and tests of a new
dbtproject you get your hands on.
Still not convinced? Here are some more features:
✨zero-config: just install it and run it, there is nothing to set up 🏁minimal dependences: the only dependencies are
click(already installed with
📦very small: at ~480 SLOC, you can easily validate it works as advertised
The package was presented during Coalesce, the annual dbt conference, as a part of the talk From 100 spreadsheets to 100 data analysts: the story of dbt at Slido. Watch a demo in the video below.
pip install dbt-coverage
dbt-coverage comes with two basic commands:
documentation for the individual commands can be shown by using the
Compute coverage from
found in a dbt project, e.g.
To choose between documentation and test coverage, pass
test as the CLI argument.
$ cd jaffle_shop $ dbt run # Materialize models $ dbt docs generate # Generate catalog.json and manifest.json $ dbt-coverage compute doc --cov-report coverage-doc.json # Compute doc coverage, print it and write it to coverage-doc.json file Coverage report ===================================================================== jaffle_shop.customers 6/7 85.7% jaffle_shop.orders 9/9 100.0% jaffle_shop.raw_customers 0/3 0.0% jaffle_shop.raw_orders 0/4 0.0% jaffle_shop.raw_payments 0/4 0.0% jaffle_shop.stg_customers 0/3 0.0% jaffle_shop.stg_orders 0/4 0.0% jaffle_shop.stg_payments 0/4 0.0% ===================================================================== Total 15/38 39.5% $ dbt-coverage compute test --cov-report coverage-test.json # Compute test coverage, print it and write it to coverage-test.json file Coverage report ===================================================================== jaffle_shop.customers 1/7 14.3% jaffle_shop.orders 8/9 88.9% jaffle_shop.raw_customers 0/3 0.0% jaffle_shop.raw_orders 0/4 0.0% jaffle_shop.raw_payments 0/4 0.0% jaffle_shop.stg_customers 1/3 33.3% jaffle_shop.stg_orders 2/4 50.0% jaffle_shop.stg_payments 2/4 50.0% ===================================================================== Total 14/38 36.8%
coverage.json files generated by the
compute command. This is
useful to ensure that the coverage does not drop while making changes to the
$ dbt-coverage compare coverage-after.json coverage-before.json # Coverage delta summary before after +/- ============================================= Coverage 39.47% 38.46% -1.01% ============================================= Tables 8 8 +0/+0 Columns 38 39 +1/+0 ============================================= Hits 15 15 +0/+0 Misses 23 24 +1/+0 ============================================= # New misses ========================================================================= Catalog 15/38 (39.47%) -> 15/39 (38.46%) ========================================================================= - jaffle_shop.customers 6/7 (85.71%) -> 6/8 (75.00%) -- new_col -/- (-) -> 0/1 (0.00%) =========================================================================
$ cd my-dbt-project $ dbt run # Materialize models $ dbt docs generate # Generate catalog.json and manifest.json $ dbt-coverage compute doc --cov-report before.json --cov-fail-under 0.5 # Fail if coverage is lower than 50% # Make changes to the dbt project, e.g. add some columns to the DWH, document some columns, etc. $ dbt run # Materialize the changed models $ dbt docs generate # Generate catalog.json and manifest.json $ dbt-coverage compute doc --cov-report after.json --cov-fail-compare before.json # Fail if the current coverage is lower than coverage in before.json $ dbt-coverage compare after.json before.json # Generate a detailed coverage delta report
Different version of
dbt-coverage support different versions of
dbt. Here is
the support matrix.
|0.20 - 0.21||0.1|
- interrogate (docs coverage for Python)
- coverage.py (execution coverage for Python)
Licensed under the MIT license (see LICENSE.md file for more details).